Ruining Wang

507 citations
24 papers · 353 · h-index 9

Impact in

Papers in

    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 3
    • interferon and immune responses 2
    • Inflammasome and immune disorders 3
    • RNA Interference and Gene Delivery 2

Ruining Wang

22 papers receiving 348 citations

Peers

Ruining Wang
Comparison fields: 5 of 95
  • Immunology 78
  • Automotive Engineering 41
  • Health, Toxicology and Mutagenesis 36
  • Infectious Diseases 39
  • Biomaterials 30
Replace Xiu Zhang with:
Xiu Zhang China
Lingxiao Chen China
Shun Shibata Japan
Yanqing Wang China
Jayoung Ku South Korea
Andrei Moroz Brazil
Yupeng Yin China
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Ruining Wang relative to Xiu Zhang China Xiu Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ruining Wang

Since Specialization
Citations

This map shows the geographic impact of Ruining Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ruining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruining Wang more than expected).

Fields of papers citing papers by Ruining Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruining Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ruining Wang. The network helps show where Ruining Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruining Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruining Wang Line = papers co-authored together Ruining Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201866
3 201843
4 201736
5 202428
6 201820
7 202013
8 201711
9 201911
10 20187
11 20227
12 20177
13 20246
14 20226
15 20254
16 20233
17 20203
18 20213
19 20252
20 20221

About Ruining Wang

Ruining Wang is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Cancer Research, having authored 24 papers that have together received 353 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), Tuberculosis Research and Epidemiology (3 papers), Inflammasome and immune disorders (3 papers), MicroRNA in disease regulation (3 papers), Immune Response and Inflammation (3 papers), Vehicle emissions and performance (2 papers), RNA Interference and Gene Delivery (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (78 citations), Automotive Engineering (41 citations), Health, Toxicology and Mutagenesis (36 citations), Infectious Diseases (39 citations) and Biomaterials (30 citations). Ruining Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Li Ma, Jiahui Yang, Wenjing Xiong, Qian Wen, Carlotta A. Glackin, Jeffrey I. Zink, Jinli Wang, Cai M. Roberts, Sophia Allaf Shahin and Thanh H. Dellinger. Their work appears in journals such as International Immunopharmacology, Microbiology Spectrum, Nanomedicine Nanotechnology Biology and Medicine, Journal of Crystal Growth and AIDS.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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